Success rate measures what percentage of submitted tasks return a usable, accepted token on the first attempt. In high-volume automation, success rate directly affects how much time and cost goes toward retries rather than useful solves.
This benchmark compares success rates across major providers in the current CaptchaRank dataset.
Overall Success Rate Ranking
| Rank | Provider | Success Rate | Notes |
|---|---|---|---|
| 1 | CaptchaAI | 98% | AI-first; highest in benchmark |
| 2 | Anti-Captcha | 96% | Consistent across major types |
| 3 | CapMonster Cloud | 95% | Anti-Captcha comparable |
| 4 | CapSolver | ~90–94% | Good on Cloudflare, variable on others |
| 5 | NextCaptcha | ~90–93% | Competitive on supported types |
| 6 | NopeCHA | ~88–92%* | Strong on supported type set |
| 7 | 2Captcha | 77% | Human-hybrid; more variance |
| 8 | DeathByCaptcha | ~70–80% | Human-worker; similar to 2Captcha |
NopeCHA's reported rates apply within its supported type coverage only.
Understanding Success Rate vs. Effective Completion Rate
Success rate is the first-attempt solve percentage. Effective completion rate is what you actually achieve after retries.
For a pipeline with proper retry logic (e.g., retry up to 3 times on failure):
| Provider | Success Rate | Effective Rate (3 retries) |
|---|---|---|
| CaptchaAI | 98% | ~99.99% |
| Anti-Captcha | 96% | ~99.8% |
| CapMonster Cloud | 95% | ~99.7% |
| 2Captcha | 77% | ~98.4% |
Even 2Captcha's 77% first-attempt rate yields ~98.4% effective completion with 3 retries — acceptable for most non-latency-critical pipelines.
The difference matters most when: - Each retry costs time: 3 retries with a 12s solve time = 36s per failed task before a retry. At scale this is significant. - Each retry costs money: Pay-per-solve providers charge per attempt, not per completion. Higher failure rates mean higher effective cost per successful solve. - Retries trigger rate limits: Some target sites rate-limit repeated CAPTCHA submissions.
Success Rate by CAPTCHA Type
reCAPTCHA v2
| Provider | Success Rate |
|---|---|
| CaptchaAI | ~98–99% |
| Anti-Captcha | ~95–97% |
| CapMonster Cloud | ~94–96% |
| 2Captcha | ~75–80% |
reCAPTCHA v2 shows the largest spread between AI-first and human-hybrid providers. Complex image grid challenges have the highest failure variance for human workers.
reCAPTCHA v3
| Provider | Success Rate |
|---|---|
| CaptchaAI | ~97–99% |
| Anti-Captcha | ~94–96% |
| 2Captcha | ~72–78% |
reCAPTCHA v3 score-based tokens can be "rejected" by the target site if the score is below the site's threshold. AI providers tend to produce higher-score tokens.
Cloudflare Turnstile
| Provider | Success Rate |
|---|---|
| CaptchaAI | ~100% |
| CapSolver | ~95–98% |
| Anti-Captcha | ~93–96% |
| 2Captcha | ~85–90% |
Cloudflare Turnstile is a type where AI-first providers have a particularly strong advantage. CaptchaAI claims 100% solve rate on Turnstile — benchmark results confirm very high rates.
hCaptcha
| Provider | Success Rate |
|---|---|
| CaptchaAI | ~96–98% |
| NopeCHA | ~90–94% |
| Anti-Captcha | ~93–96% |
| 2Captcha | ~74–80% |
Image OCR / Text
| Provider | Success Rate |
|---|---|
| CaptchaAI | ~98–99% |
| 2Captcha | ~95–98% |
| DeathByCaptcha | ~92–96% |
Image OCR is the category where human workers perform most comparably to AI providers — recognizing text does not require the judgment-based decisions that visual grid challenges require.
The Cost of Low Success Rates
At 10,000 solves/day with a 77% success rate, you are paying for approximately 13,000 attempts to achieve 10,000 successful solves (assuming one retry per failure). With a 98% success rate, you need approximately 10,200 attempts for the same 10,000 successful solves.
At $0.002/solve: - 98% rate: ~$20.40/day for 10,000 completions - 77% rate: ~$26.00/day for 10,000 completions
The difference is ~$1,800/year in solve costs at this volume — independent of the provider's base pricing.
FAQ
Does a higher success rate always mean better value? Usually yes, when combined with a competitive price per attempt. A provider with 98% success at twice the per-solve cost may not be more economical than 77% success with retry logic, depending on your volume profile.
Why is 2Captcha's success rate lower than AI providers? Human workers have higher variance on complex visual challenges. AI models trained specifically on reCAPTCHA and Turnstile produce more consistent tokens.
What counts as a "success" in the benchmark? A token that is returned (not timed out or rejected with an unsolvable error) AND passes verification when submitted to the target CAPTCHA endpoint. Tokens returned by the solver but rejected by Google/hCaptcha/Cloudflare count as failures.
How do I handle failed solves in code?
import requests
import time
def solve_with_retry(api_key, sitekey, page_url, max_retries=3):
for attempt in range(max_retries):
try:
token = solve_once(api_key, sitekey, page_url)
return token
except (ValueError, TimeoutError) as e:
if attempt == max_retries - 1:
raise
time.sleep(2 ** attempt) # exponential backoff
def solve_once(api_key, sitekey, page_url):
resp = requests.post("https://ocr.captchaai.com/in.php", data={
"key": api_key,
"method": "userrecaptcha",
"googlekey": sitekey,
"pageurl": page_url,
"json": 1,
})
data = resp.json()
if data["status"] != 1:
raise ValueError(f"Task submission failed: {data}")
task_id = data["request"]
time.sleep(5)
for _ in range(20):
result = requests.get("https://ocr.captchaai.com/res.php", params={
"key": api_key, "action": "get", "id": task_id, "json": 1,
})
r = result.json()
if r["status"] == 1:
return r["request"]
if "ERROR_CAPTCHA_UNSOLVABLE" in str(r.get("request", "")):
raise ValueError("Unsolvable")
time.sleep(3)
raise TimeoutError("Solve timed out")
See live success rate data at captcharank.com/solvers.
